Literature DB >> 29980103

Low-cost electromyography - Validation against a commercial system using both manual and automated activation timing thresholds.

Sophie Heywood1, Yong Hao Pua2, Jodie McClelland3, Paula Geigle4, Ann Rahmann5, Kelly Bower6, Ross Clark6.   

Abstract

Widespread use of electromyography (EMG) as an assessment and biofeedback method may be limited by costly commercial systems. Low-cost devices are available; however their validity is unknown. This study determined the concurrent validity of a low-cost EMG on a microchip compared with a commercially available system during isometric and dynamic muscle contractions. Inter-tester, intra-session reliability of manual data extraction during data processing compared to a simple, automatic thresholding method using the Teager-Kaiser energy operator (TKEO) was also evaluated. 10 healthy women (age 28.1 ± 6.8 yrs, height 162.1 ± 6.8 cm, mass 60.3 ± 10.2 kg) were assessed simultaneously with a commercially available EMG system (Telemyo DTS) and a custom low-cost EMG system (Myoware Muscle Sensor) during voluntary isometric contractions, knee extension, squatting, stepping and jumping. Two surface electrode sets (connected to the low-cost and the commercial system) were placed end to end along the same Vastus Lateralis muscle fibre line. Peak and mean contraction intensity, and contraction duration were analysed. Overall the relative agreement between systems was excellent for peak muscle activation (ICC 0.77-0.96) and modest to excellent for mean muscle activation (ICC 0.68-0.95) and contraction duration (ICC 0.65-0.99). Inter-tester, intra-session reliability was excellent for peak contraction intensity (ICC > 0.99) and modest to excellent for mean contraction intensity, with the TKEO method primarily recording stronger agreement than the manual method. Poor to excellent inter-tester reliability occurred for contraction duration. Our findings indicate that a low-cost EMG system is comparable to a commercial system for assessing muscle activation, and that using the TKEO improved the reliability of timing related variables.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Electromyography; Muscle activation; Quadriceps muscle

Mesh:

Year:  2018        PMID: 29980103     DOI: 10.1016/j.jelekin.2018.05.010

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  9 in total

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Journal:  Phys Eng Sci Med       Date:  2021-01-19

2.  Electromyogram-Based Classification of Hand and Finger Gestures Using Artificial Neural Networks.

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Journal:  Sensors (Basel)       Date:  2021-12-29       Impact factor: 3.576

3.  An Ultra-Low Power Surface EMG Sensor for Wearable Biometric and Medical Applications.

Authors:  Yi-Da Wu; Shanq-Jang Ruan; Yu-Hao Lee
Journal:  Biosensors (Basel)       Date:  2021-10-21

4.  Design and Evaluation of a Custom-Made Electromyographic Biofeedback System for Facial Rehabilitation.

Authors:  Kathrin Machetanz; Florian Grimm; Ruth Schäfer; Leonidas Trakolis; Helene Hurth; Patrick Haas; Alireza Gharabaghi; Marcos Tatagiba; Georgios Naros
Journal:  Front Neurosci       Date:  2022-03-04       Impact factor: 4.677

5.  Design Validation of a Low-Cost EMG Sensor Compared to a Commercial-Based System for Measuring Muscle Activity and Fatigue.

Authors:  Anthony Bawa; Konstantinos Banitsas
Journal:  Sensors (Basel)       Date:  2022-08-03       Impact factor: 3.847

6.  Low-cost electromyography: validity against a commercial system depends on exercise type and intensity.

Authors:  Paolo Tecchio; Andrea Monte; Paola Zamparo
Journal:  Eur J Transl Myol       Date:  2021-05-13

7.  Muscle Activity Detectors-Surface Electromyography in the Evaluation of Abductor Hallucis Muscle.

Authors:  Kamila Mortka; Agnieszka Wiertel-Krawczuk; Przemysław Lisiński
Journal:  Sensors (Basel)       Date:  2020-04-11       Impact factor: 3.576

8.  Design and Validation of Multichannel Wireless Wearable SEMG System for Real-Time Training Performance Monitoring.

Authors:  Serkan Örücü; Murat Selek
Journal:  J Healthc Eng       Date:  2019-09-09       Impact factor: 2.682

9.  Validation of a Low-Cost Electromyography (EMG) System via a Commercial and Accurate EMG Device: Pilot Study.

Authors:  Sergio Fuentes Del Toro; Yuyang Wei; Ester Olmeda; Lei Ren; Wei Guowu; Vicente Díaz
Journal:  Sensors (Basel)       Date:  2019-11-28       Impact factor: 3.576

  9 in total

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